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About

ExecuTorch is PyTorch’s open source framework for deploying AI/ML models directly to edge devices, enabling text, vision, speech, recommendation, and multimodal inference without requiring the cloud. It exports models from PyTorch without intermediate conversion formats, preserves ATen operators, and uses ahead-of-time compilation to optimize performance for target hardware before deployment. Its modular design lets developers choose compile-time and runtime optimizations while staying inside the familiar PyTorch ecosystem, including torchao for quantization. A portable C++ runtime with a base footprint of about 50 KB can run on smartphones, desktops, embedded systems, microcontrollers, DSPs, and Cortex-M processors. ExecuTorch supports Android, iOS, Linux, Windows, macOS, and WebAssembly, with native APIs for C++, Swift, Kotlin, and Objective-C.

About

Deep learning frameworks such as TensorFlow, PyTorch, Caffe, Torch, Theano, and MXNet have contributed to the popularity of deep learning by reducing the effort and skills needed to design, train, and use deep learning models. Fabric for Deep Learning (FfDL, pronounced “fiddle”) provides a consistent way to run these deep-learning frameworks as a service on Kubernetes. The FfDL platform uses a microservices architecture to reduce coupling between components, keep each component simple and as stateless as possible, isolate component failures, and allow each component to be developed, tested, deployed, scaled, and upgraded independently. Leveraging the power of Kubernetes, FfDL provides a scalable, resilient, and fault-tolerant deep-learning framework. The platform uses a distribution and orchestration layer that facilitates learning from a large amount of data in a reasonable amount of time across compute nodes.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Edge AI developers who need to deploy PyTorch models efficiently across mobile, embedded, desktop, and specialized hardware

Audience

Neural networks experts looking for a solution to run deep-learning frameworks as a service on Kubernetes

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

ExecuTorch
United States
executorch.ai/

Company Information

IBM
Founded: 1911
United States
developer.ibm.com/open/projects/fabric-for-deep-learning-ffdl/

Alternatives

AWS Neuron

AWS Neuron

Amazon Web Services

Alternatives

LiteRT

LiteRT

Google

Categories

Categories

Integrations

PyTorch
C++
Caffe
Facebook
Instagram
Kotlin
Kubernetes
LLaVA
Llama 3.2
Muse Glimmer
Objective-C
OpenAI Whisper
Phi-4-mini-reasoning
Qwen3
Swift
TensorFlow
Torch
Voxtral
WhatsApp

Integrations

PyTorch
C++
Caffe
Facebook
Instagram
Kotlin
Kubernetes
LLaVA
Llama 3.2
Muse Glimmer
Objective-C
OpenAI Whisper
Phi-4-mini-reasoning
Qwen3
Swift
TensorFlow
Torch
Voxtral
WhatsApp
Claim ExecuTorch and update features and information
Claim ExecuTorch and update features and information
Claim Fabric for Deep Learning (FfDL) and update features and information
Claim Fabric for Deep Learning (FfDL) and update features and information